Using CSI for re-id with WhoFi


"These measurements, the researchers say, interact with the human body in a way that results in person-specific distortions. 

"When processed by a deep neural network, the result is a unique data signature.

"Researchers proposed a similar technique, dubbed EyeFi, in 2020, and asserted it was accurate about 75 percent of the time.

"The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture."

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